Will fast.ai implement a version of the AutoML method in the future?
here’s something interesting: Train DNN to play Atari on a personal computer
Best advice for a 20-year-old undergrad aspiring to be a DL Researcher?
Are there any projects you need help with?
Just wonder how quick can you train on Imagenet and CIFAR10 on Google TPU?
What is difference between the Cyclical Learning Rate and the Stochastic Gradient Descent Restarts if both of them tries to adjust learning rate? When use one over another one?
I see that there is a new repo https://github.com/fastai/fastai_v1 containing notebooks which cover some of the library concepts from scratch. Is it for an upcoming course?
I just checked the link, quite interesting! Maybe you should start a new thread, so it becomes more visible. Maybe we can all help.
I think it is. In the fastai github thread, someone from Jeremy’s team mentioned that they are planning a new version of the Course starting next October with a new library rewritten from scratch with a change in the API. I don’t know the details but as I remember they are still using pytorch.
It’s the beginning of the new version of the library yes, though the very early stage for now.
I think Jeremy will create a topic dedicated to this once we have something a bit more consistent to show, to ask for feedback and help.